Evidence map›Paper›PMID 31851315›Full record

ArticleThe Journal of nutrition2020

Comparison of 4 Methods to Assess the Prevalence of Use and Estimates of Nutrient Intakes from Dietary Supplements among US Adults.

Alexandra E Cowan, Shinyoung Jun, Janet A Tooze, Kevin W Dodd, Jaime J Gahche, Heather A Eicher-Miller, Patricia M Guenther, Johanna T Dwyer, Alanna J Moshfegh, Donna G Rhodes and 2 more

Registry-linked trialAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03400436 (Development of a Total Nutrient Index), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03400436 completednot on this map

Development of a Total Nutrient Index

TypeobservationalSponsorNational Institute of Health and NutritionRan2011 to 2014Enrolled10,000ConditionsDiet HabitArmsNo intervention in observational studies
3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Alexandra E CowanDepartment of Nutrition Science, Purdue University, West Lafayette, IN, USA.
Shinyoung JunDepartment of Nutrition Science, Purdue University, West Lafayette, IN, USA.
Janet A ToozeWake Forest School of Medicine, Winston-Salem, NC, USA.
Kevin W DoddNIH National Cancer Institute, Bethesda, MD, USA.
Jaime J GahcheNIH Office of Dietary Supplements, Bethesda, MD, USA.
Heather A Eicher-MillerDepartment of Nutrition Science, Purdue University, West Lafayette, IN, USA.
Patricia M GuentherDepartment of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, USA.
Johanna T DwyerNIH Office of Dietary Supplements, Bethesda, MD, USA.
Alanna J MoshfeghBeltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, MD, USA.
Donna G RhodesBeltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, MD, USA.
Anindya BhadraDepartment of Statistics, Purdue University, West Lafayette, IN, USA.
Regan L BaileyDepartment of Nutrition Science, Purdue University, West Lafayette, IN, USA.

Funding

Development of a Total Nutrient IndexU01CA215834 · NCI · TEXAS A&M AGRILIFE RESEARCH · PI REGAN BAILEY, JANET A. TOOZE · 2017 to 2026
$2.2M
NCI NIH HHS U01 CA215834
6 · The paper itself

Abstract

backgroundAccurate and reliable methods to assess prevalence of use of and nutrient intakes from dietary supplements (DSs) are critical for research, clinical practice, and public health monitoring. NHANES has been the primary source of DS usage patterns using an in-home inventory with a frequency-based DS and Prescription Medicine Questionnaire (DSMQ), but little is known regarding DS information obtained from 24-h dietary recalls (24HRs).

methodsThe objectives of this analysis were to compare results from 4 different methods for measuring DS use constructed from two data collection instruments (i.e., DSMQ and 24HR) and to determine the most comprehensive method for measuring the prevalence of use and estimating nutrient intakes from DS for selected nutrients. NHANES 2011-2014 data from US adults (aged ≥19 y; n = 11,451) were used to examine the 4 combinations of methods constructed for measuring the prevalence of use of and amount of selected nutrients from DSs (i.e., riboflavin, vitamin D, folate, magnesium, calcium): 1) DSMQ, 2) 24HR day 1, 3) two 24HRs (i.e., mean), and 4) DSMQ or at least one 24HR.

resultsHalf of US adults reported DS use on the DSMQ (52%) and on two 24HRs (mean of 49%), as compared with a lower prevalence of DS use when using a single 24HR (43%) and a higher (57%) prevalence when combining the DSMQ with at least one 24HR. Mean nutrient intake estimates were highest using 24HR day 1. Mean supplemental calcium from the DSMQ or at least one 24HR was 372 mg/d, but 464 mg/d on the 24HR only. For vitamin D, the estimated intakes per consumption day were higher on the DSMQ (46 μg) and the DSMQ or at least one 24HR (44 μg) than those on the 24HR day 1 (32 μg) or the mean 24HR (31 μg). Fewer products were also classed as a default or reasonable match on the DSMQ than on the 24HR.

conclusionsA higher prevalence of use of DSs is obtained using frequency-based methods, whereas higher amounts of nutrients are reported from a 24HR. The home inventory results in greater accuracy for products reported. Collectively, these findings suggest that combining the DSMQ with at least one 24HR (i.e., DSMQ or at least one 24HR) is the most comprehensive method for assessing the prevalence of and estimating usual intake from DSs in US adults.This trial was registered at clinicaltrials.gov as NCT03400436.

Indexed as

DietDietary SupplementsNutritional RequirementsNutrition SurveysAdultCross-Sectional StudiesEnergy IntakeFemaleHumansMaleMineralsPrevalenceUnited StatesVitaminsYoung AdultMineralsVitaminsdietary recalldietary supplementmeasurement errormethodologyNHANES

Identifiers

PMID31851315
PMCPMC7138661

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.